This dataset tracks annual diversity score from 2003 to 2023 for New Dimensions vs. North Carolina and The New Dimensions School District

This dataset from Dimensions.ai contains all published articles, preprints, clinical trials, grants and research datasets that are related to COVID-19. This growing collection of research information now amounts to hundreds of thousands of items, and it is the only dataset of its kind. You can find an overview of the content in this interactive Data Studio dashboard: https://reports.dimensions.ai/covid-19/ The full metadata includes the researchers and organizations involved in the research, as well as abstracts, open access status, research categories and much more. You may wish to use the Dimensions web application to explore the dataset: https://covid-19.dimensions.ai/. This dataset is for researchers, universities, pharmaceutical & biotech companies, politicians, clinicians, journalists, and anyone else who wishes to explore the impact of the current COVID-19 pandemic. It is updated daily, and free for anyone to access. Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai. About Dimensions: Dimensions is the largest database of research insight in the world. It contains a comprehensive collection of linked data related to the global research and innovation ecosystem, all in a single platform. This includes hundreds of millions of publications, preprints, grants, patents, clinical trials, datasets, researchers and organizations. Because Dimensions maps the entire research lifecycle, you can follow academic and industry research from early stage funding, through to output and on to social and economic impact. This Covid-19 dataset is a subset of the full database. The full Dimensions database is also available on BigQuery, via subscription. Please visit www.dimensions.ai/bigquery to gain access.Más información

This dataset tracks annual white student percentage from 2002 to 2023 for Two Dimensions Preparatory Academy vs. Texas and Two Dimensions Preparatory Academy School District

List of physical dimensions sonified in the articles from the publication database, arranged according to their corresponding high-level category.

The China Administrative Regions GIS Data: 1:1M, County Level, 1 July 1990 consists of geographic boundary data for the administrative regions of China as of 1 July 1990. The data includes the geographical location, area, administrative division code, and county and island name. The data are at a scale of one to one million (1:1M) at the national, provincial, and county level. This data set is produced in collaboration with the Center for International Earth Science Information Network (CIESIN), Chinese Academy of Surveying and Mapping (CASM), and the University of Washington as part of the China in Time and Space (CITAS) project.

Dataset

This dataset was created by Daniel S. Hain

Contents

The Agency for Toxic Substances and Disease Registry (ATSDR) Hazardous Waste Site Polygon Data, Version 2 consists of 2,080 polygons for selected hazardous waste sites that

were compiled on May 26, 2010. Most polygons represent sites considered for cleanup under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA or Superfund).

Typical sites are either on the EPA National Priorities List (NPL) or are being considered for inclusion on the NPL. The hazardous waste site boundaries maintained by the Geospatial

Research, Analysis, and Services Program (GRASP, Division of Health Studies, Agency for Toxic Substances and Disease Registry, Centers for Disease Control and Prevention) contain NPL and

non-NPL hazardous waste site boundaries for which health assessments or consultations have been requested.

test-time-dimension

The Pan-Arctic Political Mask, is a raster based dataset of administrative areas and political boundaries in the NSIDC Equal-Area Scalable Earth Grid (EASE-Grid) with pixel size of 25.067525 meters. This dataset was produced by combining and rasterizing several vector based political datasets. Among these are the Rusray dataset created by Alexander Perepechko and Dmitry Sharkov for Russia, the Standard Geographical Classification (SGC) 2001 for Canada, the Census 2000 County and County Equivalent Areas dataset for the United States and the GADM database of Global Administrative Areas for Europe. The administrative units for Greenland were taken from the Wikipedia article 'Administrative divisions of Greenland' (accessed 6/23/2010). The Dataset consists of 7 variables. A unique key used for identification (PLACECODE2) and three pairs of Name/Code variables corresponding to the three administrative levels Nation, SubNation and Admin.

This is the preprocessed and dimension-reduced empirical EEG data from which all analyses were conducted for the study. Data is in MATLAB .mat format. Files with "II-II" in the file name are from the reported 1-Exemplar categorization task; "RB-II" files are from the reported 2-Exemplar categorization task. "Resting" files are from the wakeful resting state data.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Definitions of the key physical activity dimensions included in Figure 2.

The Global Reservoir and Dam Database, Version 1 (Revision 01) contains 6,862 records of reservoirs and their associated dams with a cumulative storage capacity of 6,197 cubic km. The dams were geospatially referenced and assigned to polygons depicting reservoir outlines at high spatial resolution. Dams have multiple attributes, such as name of the dam and impounded river, primary use, nearest city, height, area and volume of reservoir, and year of construction (or commissioning). While the main focus was to include all dams associated with reservoirs that have a storage capacity of more than 0.1 cubic kilometers, many smaller dams and reservoirs were added where data were available. The data were compiled by Lehner et al. (2011) and are distributed by the Global Water System Project (GWSP) and by the Columbia University Center for International Earth Science Information Network (CIESIN). For details please refer to the Technical Documentation which is provided with the data.

Dimensions analysis for Taylor & Francis Impact Assessment Author Survey

Agroecology is often seen as set of techniques or practices, but to understand why these practices are relevant and how they may be applied requires an understanding of the underlying social context in which farming takes place.In particular, we need to appreciate the political and economic conditions that have given rise to the unsustainable farming practices that agroecology aims to replace.This presentation talking about Social Dimensions of agroecology in Laos. At 1st National Multi-Stakeholder Workshop on Agroecological Transition in the Mekong Region, Vientiane, 2-3 June 2016

As of October 2022, Denmark's digital government maturity index was high across all dimensions. Especially notable were the index scores for the variables such as government as a platform, digital by design, and data-driven public sector. Government as a platform refers to deploying standard building blocks such as guidelines, tools, data, digital identity, and software to equip teams to advance a coherent transformation of government processes and services across the public sector. Denmark's overall digital gavernment maturity score was 0.81, out of 1.

Semi-structured interviews were conducted with Tribal leaders who were asked about: 1) The Tribe’s current abilities to influence regional and national decision-making processes and the degree to which general community members were now involved in local decision-making processes. 2) The role that they thought their traditional knowledge was both currently playing in the larger decision-making processes as well as what role they thought it could/should play in the future. 3) Their own visions, as local leaders, of the ideal future for their families and the community of Wainwright and what, if anything, they felt needed to happen for their community to achieve that ideal future.

Description

The dataset contains the dimensions of structural parts of radio telescopes used for geodetic and astrometric VLBI for the purpose of thermal expansion modelling in geodetic and astrometric VLBI Level-2 data analysis. The 2025-02-21 version is the pre 2025-01-21 version for ITRF2020-u2025.

Context and methodology

• The dataset belongs to publication: Axel Nothnagel (2009) Conventions on thermal expansion modelling of radio telescopes for geodetic and astrometric VLBI; Journal of Geodesy, Vol. 83(3), 787-792, DOI: 10.1007/s00190-008-0284-z where the general concept of thermal expansion modelling is described.
• The data was collected from on-site personnel who measured the dimensions of the structural parts or extracted them from construction drawings.

Technical details

• The data is stored in fixed format ASCII with the data of each telescope in a single line. The format is described in the header of the file.
• No special software is needed to read and use the data.

Agreement between the Fish and Wildlife Service and the Kansas Forestry, Fish and Game Commission to cooperate in the establishment and operation of a public hunting area and in the control and removal of rough fish on the Kirwin National Wildlife Refuge.

Context

Its been two years since the news that Canada has legalized weed hit us, so I was like why don't we get a dataset from Kaggle to practice a bit of data analysis and to my surprise I cannot find a weed dataset which reflects the economics behind legalized weed and how it has changed over time ,so I just went to the Canadian govt data site , and ola they have CSV files on exactly what I wanted floating around on their website and all I did was to download it straight up, and here I am to share it with the community.

Content

We have a series of CSV files each having data about things like supply, use case, production, etc but before we go into the individual files there are a few data columns which are common to all csv files

• Ref_date: Reference period for the series being released
• Dimension Name: Name of dimension. There can be up to 10 dimensions in a data table.
• DGUID: Dissemination Geography Unique Identifier.
• Unit of measure: The unit of measure applied to a member given in the text. There can be multiple units of measure in a table.
• Unit of measure ID: The unique reference code associated with a particular unit of measure.
• Scalar factor: The scalar factor associated with a data series, displayed as text. There can be multiple scalar factors in a table.
• Scalar_ID: The unique numeric reference code associated with a particular scalar factor.
• Vector: Unique variable length reference code time-series identifier, consisting of the letter 'V', followed by up to 10 digits.
• Coordinate: Concatenation of the member ID values for each dimension.
• Status: Shows various states of a data value using symbols. These symbols are described in the symbol legend and notes contained in the metadata file. Some symbols accompany a data value while others replace a data value. i.e. – A, B, C, D, E, F,.., X, 0s
• Symbol: Describes data points that are preliminary or revised, displayed using the symbols p and r. These symbols accompany a data.

Understanding metadata files:

Cube Title: The title of the table. The output files are unilingual and thus will contain either the English or French title.

Product Id (PID): The unique 8 digit product identifier for the table.

CANSIM Id: The ID number which formally identified the table in CANSIM. (where applicable)

URL: The URL for the representative (default) view of a given data table.

Cube Notes: Each note is assigned a unique number. This field indicates which notes, if any, are applied to the entire table.

Archive Status: Describes the status of a table as either 'Current' or 'Archived'. Archived tables are those that are no longer updated.

Frequency: Frequency of the table. (i.e. annual)

Start Reference Period: The starting reference period for the table.

End Reference Period: The end reference period for the table.

Total Number of Dimensions: The total number of dimensions contained in the table.

Dimension Name: The name of a dimension in a table. There can be up to 10 dimensions in a table. (i.e. – Geography)

Dimension ID: The reference code assigned to a dimension in a table. A unique reference Dimension ID code is assigned to each dimension in a table.

Dimension Notes: Each note is assigned a unique number. This field indicates which notes are applied to a particular dimension.

Dimension Definitions: Reserved for future development.

Member Name: The textual description of the members in a dimension. (i.e. – Nova Scotia, Ontario (members of the Geography dimension))

Member ID: The code assigned to a member of a dimension. There is a unique ID for each member within a dimension. These IDs are used to create the coordinate field in the data file. (see the 'coordinate' field in the data record layout).

Classification (where applicable): Classification code for a member. Definitions, data sources and methods

Parent Member ID: The code used to display the hierarchical relationship between members in a dimension. (i.e. – The member Ontario (5) is a child of the member Canada (1) in the dimension 'Geography')

Terminated: Indicates whether a member has been terminated or not. Terminated members are those that are no longer updated.

Member Notes: Each note is assigned a unique number. This field indicates which notes are applied to each member.

Member definitions: Reserved for future development.

Symbol Legend: The symbol legend provides descriptions of the various symbols which can appear in a table. This field describes a comprehensive list of all possible symbols, regardless of whether a selected symbol appears in a particular table.

Survey Code: The unique code associated with a survey or program from which the data in the table is derived. Data displayed in one table may be derived ...